Towards a better characterisation of deep-diving whales’ distributions by using prey distribution model outputs?
International audience In habitat modelling, environmental variables are assumed to be proxies of lower trophic levels distribution and by extension, of marine top predator distributions. More proximal variables, such as potential prey fields, could refine relationships between top predator distribu...
Published in: | PLOS ONE |
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Online Access: | https://hal.archives-ouvertes.fr/hal-03335810 https://doi.org/10.1371/journal.pone.0255667 |
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ftccsdartic:oai:HAL:hal-03335810v1 2023-05-15T17:59:27+02:00 Towards a better characterisation of deep-diving whales’ distributions by using prey distribution model outputs? Virgili, Auriane Hedon, Laura Authier, Matthieu Calmettes, Beatriz Claridge, Diane Cole, Tim Corkeron, Peter Dorémus, Ghislain Dunn, Charlotte Dunn, Tim Laran, Sophie Lehodey, Patrick Lewis, Mark Louzao, Maite Mannocci, Laura Martínez-Cedeira, José Monestiez, Pascal Palka, Debra Pettex, Emeline roberts, jason Ruiz, Leire Saavedra, Camilo Santos, M. Begoña Van Canneyt, Olivier Bonales, José Antonio Vázquez Ridoux, Vincent Observatoire PELAGIS UMS 3462 (PELAGIS) LIttoral ENvironnement et Sociétés - UMRi 7266 (LIENSs) Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS) Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) 2021-08-04 https://hal.archives-ouvertes.fr/hal-03335810 https://doi.org/10.1371/journal.pone.0255667 en eng HAL CCSD Public Library of Science info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0255667 hal-03335810 https://hal.archives-ouvertes.fr/hal-03335810 doi:10.1371/journal.pone.0255667 ISSN: 1932-6203 EISSN: 1932-6203 PLoS ONE https://hal.archives-ouvertes.fr/hal-03335810 PLoS ONE, Public Library of Science, 2021, 16 (8), pp.e0255667. ⟨10.1371/journal.pone.0255667⟩ [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2021 ftccsdartic https://doi.org/10.1371/journal.pone.0255667 2021-10-23T22:52:13Z International audience In habitat modelling, environmental variables are assumed to be proxies of lower trophic levels distribution and by extension, of marine top predator distributions. More proximal variables, such as potential prey fields, could refine relationships between top predator distributions and their environment. In situ data on prey distributions are not available over large spatial scales but, a numerical model, the Spatial Ecosystem And POpulation DYnamics Model (SEAPODYM), provides simulations of the biomass and production of zooplankton and six functional groups of micronekton at the global scale. Here, we explored whether generalised additive models fitted to simulated prey distribution data better predicted deep-diver densities (here beaked whales Ziphiidae and sperm whales Physeter macrocephalus ) than models fitted to environmental variables. We assessed whether the combination of environmental and prey distribution data would further improve model fit by comparing their explanatory power. For both taxa, results were suggestive of a preference for habitats associated with topographic features and thermal fronts but also for habitats with an extended euphotic zone and with large prey of the lower mesopelagic layer. For beaked whales, no SEAPODYM variable was selected in the best model that combined the two types of variables, possibly because SEAPODYM does not accurately simulate the organisms on which beaked whales feed on. For sperm whales, the increase model performance was only marginal. SEAPODYM outputs were at best weakly correlated with sightings of deep-diving cetaceans, suggesting SEAPODYM may not accurately predict the prey fields of these taxa. This study was a first investigation and mostly highlighted the importance of the physiographic variables to understand mechanisms that influence the distribution of deep-diving cetaceans. A more systematic use of SEAPODYM could allow to better define the limits of its use and a development of the model that would simulate larger prey ... Article in Journal/Newspaper Physeter macrocephalus Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) PLOS ONE 16 8 e0255667 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
[SDE]Environmental Sciences |
spellingShingle |
[SDE]Environmental Sciences Virgili, Auriane Hedon, Laura Authier, Matthieu Calmettes, Beatriz Claridge, Diane Cole, Tim Corkeron, Peter Dorémus, Ghislain Dunn, Charlotte Dunn, Tim Laran, Sophie Lehodey, Patrick Lewis, Mark Louzao, Maite Mannocci, Laura Martínez-Cedeira, José Monestiez, Pascal Palka, Debra Pettex, Emeline roberts, jason Ruiz, Leire Saavedra, Camilo Santos, M. Begoña Van Canneyt, Olivier Bonales, José Antonio Vázquez Ridoux, Vincent Towards a better characterisation of deep-diving whales’ distributions by using prey distribution model outputs? |
topic_facet |
[SDE]Environmental Sciences |
description |
International audience In habitat modelling, environmental variables are assumed to be proxies of lower trophic levels distribution and by extension, of marine top predator distributions. More proximal variables, such as potential prey fields, could refine relationships between top predator distributions and their environment. In situ data on prey distributions are not available over large spatial scales but, a numerical model, the Spatial Ecosystem And POpulation DYnamics Model (SEAPODYM), provides simulations of the biomass and production of zooplankton and six functional groups of micronekton at the global scale. Here, we explored whether generalised additive models fitted to simulated prey distribution data better predicted deep-diver densities (here beaked whales Ziphiidae and sperm whales Physeter macrocephalus ) than models fitted to environmental variables. We assessed whether the combination of environmental and prey distribution data would further improve model fit by comparing their explanatory power. For both taxa, results were suggestive of a preference for habitats associated with topographic features and thermal fronts but also for habitats with an extended euphotic zone and with large prey of the lower mesopelagic layer. For beaked whales, no SEAPODYM variable was selected in the best model that combined the two types of variables, possibly because SEAPODYM does not accurately simulate the organisms on which beaked whales feed on. For sperm whales, the increase model performance was only marginal. SEAPODYM outputs were at best weakly correlated with sightings of deep-diving cetaceans, suggesting SEAPODYM may not accurately predict the prey fields of these taxa. This study was a first investigation and mostly highlighted the importance of the physiographic variables to understand mechanisms that influence the distribution of deep-diving cetaceans. A more systematic use of SEAPODYM could allow to better define the limits of its use and a development of the model that would simulate larger prey ... |
author2 |
Observatoire PELAGIS UMS 3462 (PELAGIS) LIttoral ENvironnement et Sociétés - UMRi 7266 (LIENSs) Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS) Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
format |
Article in Journal/Newspaper |
author |
Virgili, Auriane Hedon, Laura Authier, Matthieu Calmettes, Beatriz Claridge, Diane Cole, Tim Corkeron, Peter Dorémus, Ghislain Dunn, Charlotte Dunn, Tim Laran, Sophie Lehodey, Patrick Lewis, Mark Louzao, Maite Mannocci, Laura Martínez-Cedeira, José Monestiez, Pascal Palka, Debra Pettex, Emeline roberts, jason Ruiz, Leire Saavedra, Camilo Santos, M. Begoña Van Canneyt, Olivier Bonales, José Antonio Vázquez Ridoux, Vincent |
author_facet |
Virgili, Auriane Hedon, Laura Authier, Matthieu Calmettes, Beatriz Claridge, Diane Cole, Tim Corkeron, Peter Dorémus, Ghislain Dunn, Charlotte Dunn, Tim Laran, Sophie Lehodey, Patrick Lewis, Mark Louzao, Maite Mannocci, Laura Martínez-Cedeira, José Monestiez, Pascal Palka, Debra Pettex, Emeline roberts, jason Ruiz, Leire Saavedra, Camilo Santos, M. Begoña Van Canneyt, Olivier Bonales, José Antonio Vázquez Ridoux, Vincent |
author_sort |
Virgili, Auriane |
title |
Towards a better characterisation of deep-diving whales’ distributions by using prey distribution model outputs? |
title_short |
Towards a better characterisation of deep-diving whales’ distributions by using prey distribution model outputs? |
title_full |
Towards a better characterisation of deep-diving whales’ distributions by using prey distribution model outputs? |
title_fullStr |
Towards a better characterisation of deep-diving whales’ distributions by using prey distribution model outputs? |
title_full_unstemmed |
Towards a better characterisation of deep-diving whales’ distributions by using prey distribution model outputs? |
title_sort |
towards a better characterisation of deep-diving whales’ distributions by using prey distribution model outputs? |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.archives-ouvertes.fr/hal-03335810 https://doi.org/10.1371/journal.pone.0255667 |
genre |
Physeter macrocephalus |
genre_facet |
Physeter macrocephalus |
op_source |
ISSN: 1932-6203 EISSN: 1932-6203 PLoS ONE https://hal.archives-ouvertes.fr/hal-03335810 PLoS ONE, Public Library of Science, 2021, 16 (8), pp.e0255667. ⟨10.1371/journal.pone.0255667⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0255667 hal-03335810 https://hal.archives-ouvertes.fr/hal-03335810 doi:10.1371/journal.pone.0255667 |
op_doi |
https://doi.org/10.1371/journal.pone.0255667 |
container_title |
PLOS ONE |
container_volume |
16 |
container_issue |
8 |
container_start_page |
e0255667 |
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